[1]李华. 医疗应用服务中云计算的数据查询方法研究[J].计算机技术与发展,2015,25(01):202-206.
　LI Hua. Research on Data Query Method of Cloud Computing in Medical Application Services[J].,2015,25(01):202-206.
点击复制

 医疗应用服务中云计算的数据查询方法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年01期
页码:
202-206
栏目:
应用开发研究
出版日期:
2015-01-10

文章信息/Info

Title:
 Research on Data Query Method of Cloud Computing in Medical Application Services
文章编号:
1673-629X（2015)01-0202-05
作者:
 李华
 解放军第四五二医院 信息科
Author(s):
 LI Hua
关键词:
 ; 云计算; 医疗; Random Walk ; 数据查询; 相似节点集; 等价节点集
Keywords:
 ; cloud computing; medical treatment; Random Walk; data query ; similarity nodes set; equivalent nodes set
分类号:
TP301
文献标志码:
A
摘要:
 针对医疗应用服务中的数据查询问题，提出了一种基于云计算的数据查询方法。该方法首先基于Random Walk方法找到查询请求的目标节点，然后通过定义服务节点的相似节点集和等价节点集来进行二次搜索，返回具有最大评价值和最低负载的节点和数据作为所需的目标节点及数据。通过两种查询方法的目标数据质量对比，发现随着服务节点数目的增加，文中方法对于提高查询质量的作用比Random Walk方法更好；通过两种方法查询目标节点的负载情况，文中的查询算法在大量服务节点间的负载情况比Random Walk方法更均衡；通过两种方法的查询路径长短比较，显示两种方法的结果较接近，但文中方法比Random Walk方法稍有优势。实验结果显示文中方法在查询之数据质量、服务节点之负载能力和查询之效率方法均好于传统策略。
Abstract:
 Aiming at the data query problem in the digital library application service,propose a data query method based on cloud compu-ting. Firstly,the target node of the query request is found based on the Random Walk,and then the second search is proceeded through de-fining the similarity nodes set and the equivalent nodes set of the service node,finally,the node and data with maximum evaluation value and the minimum load is returned. For improving the quality of target data,found that the method in this paper is better than Random Walk method,as the number of service nodes increase. Querying the load among a huge amount of target service nodes by these two methods,query algorithm in this paper obtains more balanced load than the Random Walk method. In addition,results show that the quer-ying path lengths of the two methods are nearly the same,but method in this paper has a slight advantage over the Random Walk method. The experimental results show that the performance of proposed method is superior to the traditional methods in terms of the quality of da-ta,the load capacity of service node and the efficiency of query method.

相似文献/References:

[1]王茜,朱志祥,史晨昱,等.应用于数据库安全保护的加解密引擎系统[J].计算机技术与发展,2014,24(01):143.
　WANG Qian[],ZHU Zhi-xiang[],SHI Chen-yu[],et al.Encryption and Decryption Engine System Applying to Database Security and Detection[J].,2014,24(01):143.
[2]陈丹伟 黄秀丽 任勋益.云计算及安全分析[J].计算机技术与发展,2010,(02):99.
　CHEN Dan-wei,HUANG Xiu-li,REN Xun-yi.Analysis of Cloud Computing and Cloud Security[J].,2010,(01):99.
[3]孙放 陈云芳 林杭锋.适用于富客户端的云计算模型[J].计算机技术与发展,2010,(08):96.
　SUN Fang,CHEN Yun-fang,LIN Hang-feng.Cloud Computing Model Applicable to Rich Client Applications[J].,2010,(01):96.
[4]郭苑 张顺颐 孙雁飞.物联网关键技术及有待解决的问题研究[J].计算机技术与发展,2010,(11):180.
　GUO Yuan,ZHANG Shun-yi,SUN Yan-fei.Research of Key Technologies and Unresolved Questions of Internet of Things[J].,2010,(01):180.
[5]李玲娟 张敏.云计算环境下关联规则挖掘算法的研究[J].计算机技术与发展,2011,(02):43.
　LI Ling-juan,ZHANG Min.Research on Algorithms of Mining Association Rule under Cloud Computing Environment[J].,2011,(01):43.
[6]王德政 申山宏 周宁宁.云计算环境下的数据存储[J].计算机技术与发展,2011,(04):81.
　WANG De-zheng,SHEN Shan-hong,ZHOU Ning-ning.Data Storage in Cloud Computing Environment[J].,2011,(01):81.
[7]宋丽华 姜家轩 张建成 田长录 马文征.黄河三角洲云计算平台关键技术的研究[J].计算机技术与发展,2011,(06):40.
　SONG Li-hua,JIANG Jia-xuan,ZHANG Jian-cheng,et al.Research of Key Technologies of Cloud Computing of Yellow River Delta[J].,2011,(01):40.
[8]田宏伟 解福 倪俊敏.云计算环境下基于粒子群算法的资源分配策略[J].计算机技术与发展,2011,(12):22.
　TIAN Hong-wei,XIE Fu,NI Jun-min.Resource Allocation Algorithm Based on Particle Swarm Algorithm in Cloud Computing Environment[J].,2011,(01):22.
[9]张慧 邢培振.云计算环境下信息安全分析[J].计算机技术与发展,2011,(12):164.
　ZHANG Hui,XING Pei-zhen.Information Security Analysis in Cloud Computing Environment[J].,2011,(01):164.
[10]张建成[] 宋丽华[] 鹿全礼[] 郭锐[] 刘永泉[].云计算方案分析研究[J].计算机技术与发展,2012,(01):165.
　ZHANG Jian-cheng,SONG Li-hua,LU Quan-li,et al.Study and Analysis of Cloud Computing Procedure[J].,2012,(01):165.
[11]王雷,陈彦先,袁哲,等. 面向预拌混凝土行业的云计算[J].计算机技术与发展,2014,24(08):14.
　WANG Lei,CHEN Yan-xian,YUAN Zhe JI Xu. Research on Cloud Computing for Ready-mixed Concrete Industry[J].,2014,24(01):14.
[12]殷小龙,李君,万明祥. 云环境下基于改进NSGA II的虚拟机调度算法[J].计算机技术与发展,2014,24(08):71.
　YIN Xiao-long,LI Jun,WAN Ming-xiang. Virtual Machines Scheduling Algorithm Based on Improved NSGA II in Cloud Environment[J].,2014,24(01):71.
[13]张也弛,周文钦,石润华. 一种面向云的大数据完整性检测协议[J].计算机技术与发展,2014,24(09):68.
　ZHANG Ye-chi,ZHOU Wen-qin,SHI Run-hua. A Big Data Integrity Checking Protocol for Cloud[J].,2014,24(01):68.
[14]徐源吾[][],王珣[][]. 基于Hadoop的智能家居信息处理平台[J].计算机技术与发展,2014,24(09):183.
　XU Yuan-wu[] [],WANG Xun[][]. nformation Processing Platform of Smart Home Based on Hadoop[J].,2014,24(01):183.
[15]谢福伟,梁昌勇,马银超. 基于云计算的景区数据仓库应用研究[J].计算机技术与发展,2014,24(09):198.
　XIE Fu-wei,LIANG Chang-yong,MA Yin-chao. Research on Data Warehouse Application of Tourist Areas Data Based on Cloud Computing[J].,2014,24(01):198.
[16]孙滔,王杉,邢军. 文献共享系统和数据共享系统的云计算平台建设[J].计算机技术与发展,2014,24(09):206.
　SUN Tao,WANG Shan,XING Jun. Construction of Cloud Computing Platform of Sci-tech Literature Sharing System and Data Sharing System[J].,2014,24(01):206.
[17]周文琼[],王乐球[],郑述招[]. 云环境下的数据库扩展策略的设计[J].计算机技术与发展,2014,24(09):213.
　ZHOU Wen-qiong[],WANG Le-qiu[],ZHENG Shu-zhao[]. Design of Database Expansion Strategy under Cloud Computing[J].,2014,24(01):213.
[18]申侃,梁昌勇,赵树平. 基于云的MIS开放式体系结构[J].计算机技术与发展,2014,24(10):21.
　SHEN Kan,LIANG Chang-yong,ZHAO Shu-ping. Open Architecture of MIS Based on Cloud[J].,2014,24(01):21.
[19]王霞俊. 云环境下一种基于能耗感知的虚拟机部署算法[J].计算机技术与发展,2014,24(10):88.
　WANG Xia-jun. A Virtual Machine Allocation Algorithm Based on Power-aware in Cloud Computing[J].,2014,24(01):88.
[20]孟蒙,茅苏. 基于云计算的可反馈负载均衡策略的研究[J].计算机技术与发展,2014,24(10):135.
　MENG Meng,MAO Su. Study on Feedback Load Balancing Strategy Based on Cloud Computing[J].,2014,24(01):135.

更新日期/Last Update: 2015-04-28